Hospital-Acquired Conditions Reduction Program, Racial and Ethnic Diversity, and Magnet Designation in the United States

OBJECTIVE: A key quality indicator in any health system is its ability to reduce morbidity and mortality. In recent years, healthcare organizations in the United States have been held to stricter measures of accountability to provide safe, quality care. This study aimed to explore the contextual factors driving racial disparities in hospital-acquired conditions incident rates among Medicare recipients in Magnet and non-Magnet hospitals. METHODS: A cross-sectional observational study was performed using data from Hospital-Acquired Condition Reduction Program. Performance from 1823 hospitals were used to examine the association between Magnet recognition and community\u27s racial and ethnic differences in hospital performance on the Hospital-Acquired Condition Reduction Program. The unit of analysis was the hospital level. A propensity score matching approach was used to take into account differences in baseline characteristics when comparing Magnet and non-Magnet hospitals. The outcome measures were risk-standardized hospital performance on the Hospital-Acquired Condition Reduction Program domains and overall performance. RESULTS: Study findings show that Magnet hospitals had decreased methicillin-resistant Staphylococcus aureus (MRSA) rate (β = -0.22; 95% confidence interval, -0.36 to -0.08) compared with non-Magnet hospitals. No other statistical difference was identified. CONCLUSIONS: Results from this study show community\u27s racial and ethnic differences in hospital-acquired conditions occurrence differ between Magnet and non-Magnet hospitals for MRSA, indicating its association with nursing practice. However, because this improvement is limited to only MRSA, there are likely opportunities for Magnet hospitals to continue process improvements focused on additional Hospital-Acquired Condition Reduction Program measures

Hospital Partnerships in Population Health Initiatives

Hospitals are expected to fulfill a role in the communities they serve by improving the health of the population in the community as mandated in the Affordable Care Act. One way hospitals achieve this is to create partnerships with diverse organizations, such as local public health departments, state/federal agencies, and other health care organizations. The aim of this study is to examine characteristics of hospitals that developed partnerships based on improving population health. This study utilized the 2015 Population Health Survey, American Hospital Association Database, and Dartmouth Atlas of Health Care. Hospital characteristics included size, ownership status, part of a system, teaching status location, Medicare percentage, Medicaid percentage, average stay length, and inpatient days per 1000 persons. Level of partnership was measured by the hospital\u27s current working relationship with other hospitals/health care systems or local/state/other agencies. Univariate, bivariate, and multivariate regression analyses were used to analyze the relationship between hospital partnerships and organizational characteristics. Hospitals with strong relationships tend to be larger and not-for-profit hospitals, hospitals with system members and located in urban areas, and teaching-affiliated hospitals. This study also found hospital characteristics were related to hospitals\u27 partnerships. Hospitals within health care systems and with high inpatient volume were more likely to report relationships that were stronger. This study provides a systematic and updated look at hospitals\u27 partnership when looking at commitment to population health improvement and contributes to the literature by informing about the greater need to support rural and smaller hospitals with population health outreach activities

Hospital Geographic Location and Unexpected Complications in term Newborns in Florida

INTRODUCTION: Birth trauma rates in term of neonates is a quality measure used by the Joint Commission. In the United States birth trauma rates occurs at a rate of 37 per 1000 live births and are on the decline. However, this decline has been significantly lower among term neonates born in rural facilities. There is a critical lack of evidence toward the influence geographical risk factors has on birth trauma rates for neonatal patients. We sought to measure rural community and hospital characteristics associated with birth trauma. METHODS: A retrospective longitudinal study design was used to examine inpatient medical discharge data across 103 hospitals of neonates at birth from 2013 to 2018. Discharge data was linked to the American Hospital Association annual survey. We used a multi-level mixed effect model to investigate the relationship between individual and hospital-level attributes associated with increased risk of birth trauma among neonatal patients. RESULTS: We found that rural hospitals were 3.99 times (p \u3c 0.001) more likely to experience higher birth trauma than urban hospitals. Medium sized hospitals were 2.11 times (p \u3c 0.001) more likely to experience higher birth trauma. Hospitals who indicate having a safety culture were more likely (p \u3c 0.05) to have high rates of birth trauma. DISCUSSION: Neonates born at rural hospitals, were more likely to experience a birth-related injury. Policy strategies focusing on improving health care quality in rural areas are critical to mitigating this increased risk of birth trauma. Further research is required to assess how physician characteristics may impact birth trauma rates

The influence of community health on hospitals attainment of Magnet designation: Implications for policy and practice

Aims: To determine if there is an association between better County Health Rankings and the increased odds of a hospital gaining Magnet designation in subsequent years (2014–2019) compared with counties with lower rankings. Background: The Magnet hospital model is recognized to have a great effect on nurses, patients and organizational outcomes. Although Magnet hospital designation is a well-established structural marker for nursing excellence, the effect of County Health Rankings and subsequent hospital achievement of Magnet status is unknown. Design: A descriptive, cross-sectional quantitative approach was adopted for this study. Methods: Data were derived from 2010 to 2019 U.S. County Health Rankings, American Hospital Association, and American Nursing Credentialing Center databases. Logistic regression models were utilized to determine associations between county rankings for health behaviours, clinical care, social and economic factors, physical environment and counties with a new Magnet hospital after 2014. Results: Counties with the worst rankings for clinical care and socio-economic status had reduced odds of obtaining a Magnet hospital designation compared with best-ranking counties. While middle-ranking counties for the physical environment ranking had increased odds of having Magnet designation compared with best-ranking counties. Additionally, having an increased percent of government non-federal hospital or a higher percentage of critical access hospitals in the county reduced the odds of having a Magnet-designated facility after 2014. Conclusion: The findings underscore the important associations between Magnet-designated facilities’ location and the health of its surrounding counties. This study is the first to examine the relationship between County Health Rankings and a hospital\u27s likelihood of obtaining Magnet status and points to the need for future research to explore outcomes of care previously identified as improved in Magnet-designated hospitals. Implications: Recognizing the benefits of Magnet facilities, it is important for health care leaders and policy makers to seek opportunities to promote centres of excellence in higher need communities through policy and financial intervention

Immediate physical therapy initiation in patients with acute low back pain is associated with a reduction in downstream health care utilization and costs

Background. Physical therapy is an important treatment option for patients with low back pain (LBP). However, whether to refer patients for physical therapy and the timing of initiation remain controversial. Objective. The objective of this study was to evaluate the impact of receiving physical therapy and the timing of physical therapy initiation on downstream health care utilization and costs among patients with acute LBP. Design. The design was a retrospective cohort study. Methods. Patients who had a new onset of LBP between January 1, 2009, and December 31, 2013, in New York State were identified and grouped into different cohorts on the basis of whether they received physical therapy and the timing of physical therapy initiation. The probability of service use and LBP-related health care costs over a 1-year period were analyzed. Results. Among 46,914 patients with acute LBP, 40,246 patients did not receive physical therapy and 6668 patients received physical therapy initiated at different times. After controlling for patient characteristics and adjusting for treatment selection bias, health care utilization and cost measures over the 1-year period were the lowest among patients not receiving physical therapy, followed by patients with immediate physical therapy initiation (within 3 days), with some exceptions. Among patients receiving physical therapy, those receiving physical therapy within 3 days were consistently associated with the lowest health care utilization and cost measures. Limitations. This study was based on commercial insurance claims data from 1 state. Conclusions. When referral for physical therapy is warranted for patients with acute LBP, immediate referral and initiation (within 3 days) may lead to lower health care utilization and LBP-related costs

Hospital robotic use for colorectal cancer care

The use of robotic surgery for colorectal cancer continues to increase. However, not all organizations offer patients the option of robotic intervention. This study seeks to understand organizational characteristics associated with the utilization of robotic surgery for colorectal cancer. We conducted a retrospective study of hospitals identified in the United States, State of Florida Inpatient Discharge Dataset, and linked data for those hospitals with the American Hospital Association Survey, Area Health Resource File and the Health Community Health Assessment Resource Tool Set. The study population included all robotic surgeries for colorectal cancer patients in 159 hospitals from 2013 to 2015. Logistic regressions identifying organizational, community, and combined community and organizational variables were utilized to determine associations. Results indicate that neither hospital competition nor disease burden in the community was associated with increased odds of robotic surgery use. However, per capita income (OR 1.07 95% CI 1.02, 1.12), average total margin (OR 1.01, 95% CI 1.001, 1.02) and large-sized hospitals compared to small hospitals (OR: 5.26, 95% CI 1.13, 24.44) were associated with increased odds of robotic use. This study found that market conditions within the U.S. State of Florida are not primary drivers of hospital use of robotic surgery. The ability for the population to pay for such services, and the hospital resources available to absorb the expense of purchasing the required equipment, appear to be more influential

Cost-Effectiveness of an Adjuvanted Hepatitis B Vaccine (HEPLISAV-B) in Patients With Inflammatory Bowel Disease.

BackgroundCompare the cost-effectiveness of 2 recombinant hepatitis B virus (HBV) vaccines in patients with inflammatory bowel disease (IBD).MethodsMarkov models were developed for 2 IBD cohorts: (1) 40-year-old patients prior to starting IBD treatment and (2) 40-year-old patients already receiving therapy. Cohort A received full vaccination series, cohort B had primary vaccine failure and received a vaccine booster. Two vaccines were compared: adjuvanted HEPLISAV-B and nonadjuvanted Engerix-B. Clinical probabilities of acute hepatitis, chronic hepatitis, cirrhosis, fulminant hepatic failure and death, treatment costs, and effectiveness estimates were obtained from published literature. A lifetime analysis and a US payer perspective were used. Probabilistic sensitivity analyses were performed for different hypothetical scenarios.ResultsAnalysis of cohort A showed moderate cost-effectiveness of HEPLISAV-B ($88,114 per quality-adjusted life year). Analysis of cohort B showed increased cost-effectiveness ($35,563 per quality-adjusted life year). Changing Engerix-B to HEPLISAV-B in a hypothetical group of 100,000 patients prevented 6 and 30 cases of acute hepatitis; and 4 and 5 cases of chronic hepatitis annually for cohorts A and B, respectively. It also prevented 1 and 2 cases of cirrhosis, and 1 and 2 deaths over 20 years for each cohort. Cost-effectiveness was determined by vaccination costs, patient age, and progression rate from chronic hepatitis to cirrhosis.ConclusionsHEPLISAV-B is cost-effective over Engerix-B in patients receiving immunosuppressive therapy for IBD. Benefits increase with population aging and lower costs of vaccines. We advocate measuring levels of HBV antibodies in patients with IBD and favor adjuvanted vaccines when vaccination is needed

Factors that Influence Chemotherapy Treatment Rate in Patients With Upper Limb Osteosarcoma

Background/Aim: Chemotherapy is the mainstay treatment of osteosarcoma. The purpose of this study was to elucidate the factors that affect the rate of chemotherapy treatment of osteosarcoma patients. Materials and Methods: We queried the National Cancer Database for bone cancer patients. We included patients diagnosed with osteosarcoma of the upper extremities regardless of age and sex. With bivariate and multivariate models, we analyzed the demographic, facility, and tumor-specific characteristics, comparing the group that received chemotherapy with those that did not. Results: Female patients (OR=0.567; 95% CI=0.337-0.955), non-White patients (OR=0.485; 95% CI=0.25-0.939), and patients with government insurance (OR=0.506; 95% CI=0.285-0.9) had lower odds of receiving chemotherapy treatment than male, white, and privately insured patients. Patients with stages II (OR=4.817; 95% CI=2.594-8.946) and IV disease (OR=0.457; 95% CI=1.931-10.286) had higher odds of receiving chemotherapy than those with stage I disease. Conclusion: Age, sex, race and insurance affected the rate of chemotherapy treatment in patients with upper limb osteosarcoma

Supplemental_Table_3376d7e97ad2_33768f3c6189_4580e5081703 - Palliative Care Use Among Patients With Solid Cancer Tumors: A National Cancer Data Base Study

<p>Supplemental_Table_3376d7e97ad2_33768f3c6189_4580e5081703 for Palliative Care Use Among Patients With Solid Cancer Tumors: A National Cancer Data Base Study by Osayande Osagiede, Dorin T. Colibaseanu, Aaron C. Spaulding, Ryan D. Frank, Amit Merchea, Scott R. Kelley, Ryan J. Uitti, and Sikander Ailawadhi in Journal of Palliative Care</p